About the Role
We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forest ecosystems, land-use practices, and environmental decision-making. Your real-world expertise will directly influence how next-generation AI systems reason about some of the most pressing environmental challenges of our time.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-based Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review AI-generated forestry and land management scenarios for scientific accuracy and practical soundness
- Evaluate content related to forest health, land use, ecosystem dynamics, and sustainability practices
- Identify errors, oversimplifications, or flawed reasoning in AI-generated management recommendations
- Provide clear, structured feedback that helps AI systems improve their applied environmental reasoning
- Work independently and asynchronously — on your schedule, at your pace
Who You Are
- 3+ years of hands-on experience in forestry, land management, or a closely related field
- Strong working knowledge of forest ecosystems, silviculture, or land-use planning principles
- Able to critically evaluate applied environmental and resource management decisions
- Comfortable reviewing and assessing written technical content
- Self-motivated and reliable when working independently
Nice to Have
- Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
- Experience with conservation programs, land-use planning, or regulatory compliance
- Familiarity with AI tools or content evaluation workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs — your domain expertise genuinely matters here
- Fully remote and flexible — work when and where it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that helps AI better understand the natural world
- Potential for ongoing work and contract extension